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from torch.cuda import nvtx

class Nvtx(object):
    
    def __init__(self, name, enabled=True):
        self.name = name
        self.enabled = enabled

    def __call__(self, f):
        def wrapped_f(*args, **kwargs):
            with Nvtx(self.name, self.enabled):
                return f(*args, **kwargs)
        return wrapped_f
    
    def __enter__(self):
        if self.enabled:
            nvtx.range_push(self.name)
    
    def __exit__(self, *exc_info):
        if self.enabled:
            nvtx.range_pop()